Modeling of rotary movement of the articulating crane with increased gaps in the hinge joints of the links by Lagerev I.A., Milto A.A., Lagerev A.V.

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Data-driven discovery and parameter estimation of mathematical models in biological pattern formation. by Hidekazu Hishinuma, Hisako Takigawa-Imamura, Takashi Miura

“…For model selection, we employed Contrastive Language-Image Pre-training (CLIP) for zero-shot feature extraction, mapping the given pattern images to latent space and specifying the appropriate model. …”
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Investigation of Multiple Hybrid Deep Learning Models for Accurate and Optimized Network Slicing by Ahmed Raoof Nasser, Omar Younis Alani

“…To optimize the model performance in terms of accuracy and model complexity, the hyperparameters of each algorithm are selected using the Bayesian optimization algorithm. …”
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Multi-scale machine learning model predicts muscle and functional disease progression by Silvia S. Blemker, Lara Riem, Olivia DuCharme, Megan Pinette, Kathryn Eve Costanzo, Emma Weatherley, Jeff Statland, Stephen J. Tapscott, Leo H. Wang, Dennis W. W. Shaw, Xing Song, Doris Leung, Seth D. Friedman

“…All model stages revealed strong predictive performance in separate holdout datasets. …”
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Systematic Construction of Semantic Structure Computationally Digital Communication Systems As A Model by Aida Haouchi

“…Do we get better and deeper semantic analysis because we use specific linguistic knowledge in a non-automatic manner, or is the future in powerful communicative digital models that perform a complete task from natural language inputs and outputs alone without pre-defined linguistic knowledge? …”
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Model of recreational and training sessions based on the use of funds aqua professionally applied in the preparation of students of economics by N. V. Petrenko, T. A. Loza

“…Results : It was found that the developed model has a positive effect on physical performance of students promotes adaptive processes to the future professional activity and improve the learning process. …”
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Comparative Study of Person Re-Identification Techniques Based on Deep Learning Models by Mossaab Idrissi Alami, Abderrahmane Ez-zahout, Fouzia Omary

“…This study explores deep metric learning models, specifically Siamese and Triplet networks, to improve Re-ID performance. …”
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Comparison of various machine learning regression models based on Human age prediction by Dr.Manaf K Hussein

“…The results showed no performance difference amongst models trained on the same type of data, suggesting that the type of input data had a stronger influence on prediction performance than the model choice. …”
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Innovative data techniques for centrifugal pump optimization with machine learning and AI model. by Gaurav Sandeep Dave, Amar Pradeep Pandhare, Atul Prabhakar Kulkarni, Dhananjay Vasant Khankal

“…The assessment of model performance relies on Precision, Recall, and F1 score. …”
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Modelling and Measurement of Folk Guitar: Truss Rod and Strings in Numerical Analysis of Tone by Paweł Michał BIELSKI, Marcin KUJAWA, Izabela Katarzyna LUBOWIECKA

“…The study makes an attempt to model a complete vibrating guitar including its non-linear features, specifically the tension-compression of truss rod and tension of strings. …”
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FTLNet: federated deep learning model for multi-horizon wind power forecasting by Majad Mansoor, Gong Tao, Adeel Feroz Mirza, Balal Yousaf, Muhammad Irfan, Wei Chen

“…Compared to other models, FTL-Net's superior performance, bolstered by feature selection, establishes it as a leading approach in the secure and competitive realm of wind power forecasting. …”
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Determining of the laser heat flux for three-dimensional conduction model by the sequential method by Nguyen Nhat Phi Long, Son Hoai Nguyen, Nguyen Quan

“…In this study, the Newton–Raphson method has been calibrated as an operational algorithm to evaluate the laser heat flux value accurately in the 3-D conduction model. The outstanding features in this algorithm: the unaware absorption coefficient's functional form is no preset, and the nonlinear least-squares are no necessary. …”
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Modeling the functioning process of the steering system of a truck during parking maneuvers by Gorbatenko N.N.

“…The article discusses the development of a mathematical model for the steering system of a truck equipped with a screw-and-rack steering mechanism with power assistance. …”
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A Modified Active Appearance Model Based on an Adaptive Artificial Bee Colony by Mohammed Hasan Abdulameer, Siti Norul Huda Sheikh Abdullah, Zulaiha Ali Othman

“…Active appearance model (AAM) is one of the most popular model-based approaches that have been extensively used to extract features by highly accurate modeling of human faces under various physical and environmental circumstances. …”
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A weight clustering algorithm based on sliding window model for stream data by Jiashun Chen, Jianjing Chen, Zhaoman Zhong

“…Building on this, we introduce a sliding window model clustering algorithm, which incorporates detailed threshold calculation processes to enhance clustering accuracy. …”
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Model and Method for Determining the Optimal Structure of the Security System for Critical Information Infrastructure by V. A. Gasimov, J. I. Mammadov

“…A model of the security system is proposed and the require ments for this model are defined. …”
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Incorporating convolutional and transformer architectures to enhance semantic segmentation of fine-resolution urban images by Xizi Yu, Shuang Li, Yu Zhang

“…The testing results have proven that the proposed model can achieve satisfactory performance on the ISPRS Vaihingen and Potsdam dataset, with overall accuracies of 91.9% and 92.0%, respectively. …”
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A hybrid model for predicting response to risperidone after first-episode psychosis by Giovany Oliveira Costa, Vanessa K. Ota, Matheus Rodrigues Luiz, Joice Santos Rosa, Gabriela Xavier, Jessica Honorato-Mauer, Marcos L. Santoro, Carolina Muniz Carvalho, Daniel A. Cavalcante, Amanda V.G. Bugiga, Rodrigo A. Bressan, Gerome Breen, Ary Gadelha, Cristiano Noto, Diego R. Mazzotti, Sintia I. Belangero

“…This study aimed to determine the performance of clinical, genetic, and hybrid models to predict the response of patients in first-episode psychosis (FEP) to the antipsychotic risperidone. …”
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Integrated clinical and proteomic-based model for diagnostic and prognostic prediction in pRCC by Zeya Xu, Linhui Zhang, Jiacheng Lyu, Maoping Cai, Tao Ji, Lin Bai, Liqing Li, Yao Zhu, Huashan Xu, Subei Tan, Hualei Gan, Shujuan Ni, Wenhao Xu, Xi Tian, Aihetaimujiang Anwaier, Beiyan Liu, Qinqin Hou, Guohai Shi, Hailiang Zhang, Jianyuan Zhao, Dingwei Ye, Yuanyuan Qu, Chen Ding

“…Finally, to facilitate real-time clinical monitoring of progression-free survival (PFS), we integrated routine blood indicators and proteomic features to develop the time-clock progression model, which demonstrated high predictive performance (AUROC > 0.95, AP > 0.95). …”
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Mathematical and geoinformation modeling of snowmelt process in the river drainage basins of the Kama region by V. G. Kalinin, A. A. Shaydulina, V. S. Rusakov, M. A. Fasakhov

“…This model makes it possible to take into account the spatial distribution of meteorological information, features of the relief and soil-vegetation cover more accurately. …”
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